Three Key Insights from Gartner IOCS to Jump-start your AI Operations at Scale in the New Year
Blog post from Vultr
At the Gartner IT Infrastructure, Operations & Cloud Strategies Conference, three key insights emerged that are crucial for enterprises aiming to excel in AI operations. Firstly, success in generative AI is pivotal for business success, necessitating a comprehensive generative transformation strategy involving technological and organizational shifts, with a focus on staff augmentation and responsible AI practices. Secondly, platform engineering is essential for empowering internal teams to optimize generative AI applications, emphasizing a self-serve user experience, composability, and efficient infrastructure management. Lastly, a strategic edge computing approach is vital for enhancing customer experiences and infrastructure operations, requiring a distributed and adaptable cloud GPU stack to manage AI models in compliance with regional norms. Vultr plays a significant role in supporting these initiatives by offering a robust array of NVIDIA GPUs, emphasizing composability, and facilitating seamless deployment of generative AI operations across its global data center network.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Platform Engineering | 16 | 335 | 57 | 33 | -23% |
| LLM | 9 | 2,083 | 276 | 120 | -35% |
| Edge Computing | 3 | 19 | 10 | 7 | -41% |
| AI Guardrails | 2 | 64 | 36 | 19 | -64% |
| AI Model Fine-tuning | 2 | 364 | 97 | 57 | -40% |
| Observability | 1 | 1,192 | 205 | 85 | -3% |
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